一个数据集用于测量研究数据的影响及其策划
Libby Hemphill1,2, Andrea Thomer3, Sara Lafia4
1Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, MI, 48104, USA. libbyh@umich.edu.
Scientific data
|May 3, 2024
概括
一个新的数据集跟踪了社会科学数据的再利用,揭示了档案和策划决策如何影响长期的可访问性和影响. 该资源有助于资助者和档案机构优化研究数据管理.
科学领域:
- 社会科学 社会科学 社会科学
- 数据科学数据科学数据科学
- 信息科学 信息科学 信息科学
背景情况:
- 科学资助者,出版商和数据档案馆的目标是最大限度地重复使用研究数据.
- 关于数据存档和策划资源分配的决定对于最大限度地提高重复使用潜力至关重要.
- 了解这些决定对数据再利用的影响对于基于证据的政策至关重要.
研究的目的:
- 引入一套新的数据集,旨在衡量档案和数据策划决策对研究数据再利用的影响.
- 为分析影响社会科学中长期数据再利用的因素提供全面的资源.
主要方法:
- 开发了一套数据集,描述了10,605个社会科学研究数据集,它们的策划历史和重复使用背景.
- 数据涵盖59年 (1963-2022年),包括94,755个引用出版物.
- 使用研究级别的元数据,引用数据和来自ICPSR (政治和社会研究大学间联盟) 的策划记录构建数据集.
主要成果:
- 数据集包括研究属性 (PI,资助者,主题术语),使用统计 (下载,引用),归档决策 (策划活动,转换) 和引用出版物的文献计量数据.
- 这一全面的数据集使得能够分析导致数据重复使用的因素.
- 提供了关于数据策划工作和随后的研究影响之间的关系的见解.
结论:
- 该数据集提供了有价值的信息,以了解研究数据再利用的驱动因素.
- 可以为开发有效数据策略的基于证据的建议提供信息.
- 支持科学资助者,出版商和数据档案机构做出明智的决策,以提高研究数据的可访问性和影响.
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